Jake Shortt

4.5k citations
119 papers · 2.3k indexed · h-index 25

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Oncology top 5%

Papers in

    • Acute Myeloid Leukemia Research 26
    • Multiple Myeloma Research and Treatments 15
    • Chronic Myeloid Leukemia Treatments 11
    • Chronic Lymphocytic Leukemia Research 16
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 12

Jake Shortt

110 papers receiving 2.3k citations

Peers

Jake Shortt
Comparison fields: 5 of 106
  • Hematology 665
  • Oncology 756
  • Genetics 270
  • Immunology 493
  • Molecular Biology 1.3k
Replace Hirotaka Matsui with:
Hirotaka Matsui Japan
Keita Kirito Japan
Gabriel Ghiaur United States
Robert L. Redner United States
Valérie Gouilleux‐Gruart France
K. Martin Kortüm Germany
Simrit Parmar United States
Yasuhito Terui Japan
Lugui Qiu China
Michel Jourdan France
Jake Shortt relative to Hirotaka Matsui Japan Hirotaka Matsui's profile →
Citations per field
00.5×1.5×2.1×
Hirotaka Matsui · 1×
Citations per year

Countries citing papers authored by Jake Shortt

Since Specialization
Citations

This map shows the geographic impact of Jake Shortt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jake Shortt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Shortt more than expected).

Fields of papers citing papers by Jake Shortt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake Shortt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jake Shortt. The network helps show where Jake Shortt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jake Shortt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jake Shortt Line = papers co-authored together Jake Shortt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20250
4 20244
5 20242
6 20242
7 20247
8 20242
9 20230
10 20233
11 20232
12 20234
13 20234
14 20210
15 20208
16 201650
17 201591
18 201583
19 2013117
20 201252

About Jake Shortt

Jake Shortt is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 119 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (26 papers), Protein Degradation and Inhibitors (24 papers), Chronic Lymphocytic Leukemia Research (16 papers), Multiple Myeloma Research and Treatments (15 papers), Histone Deacetylase Inhibitors Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers) and Chronic Myeloid Leukemia Treatments (11 papers). The work is most often cited by research in Hematology (665 citations), Oncology (756 citations), Genetics (270 citations), Immunology (493 citations) and Molecular Biology (1.3k citations). Jake Shortt has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Ricky W. Johnstone, James E. Bradner, Christopher J. Ott, Andrew Spencer, Leonie A. Cluse, Benjamin P. Martin, Johannes Zuber, Geoffrey M. Matthews, P. Leif Bergsagel and Marta Chesi. Their work appears in journals such as Blood, HemaSphere, British Journal of Haematology, Journal of Clinical Oncology and European Journal Of Haematology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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